Organisational, societal, and individual factors affecting women’s career progression in Bahraini banking sector

Author(s):  
Layla Alhalwachi ◽  
Chima Mordi
2018 ◽  
Vol 2 (12) ◽  
Author(s):  
Kıyasettin Asil ◽  
Bora Kalaycıoğlu ◽  
Kamran Mahmutyazıcıoğlu

2017 ◽  
Vol 9 (2) ◽  
pp. 109
Author(s):  
Paulina Harun ◽  
Atman Poerwokoesoemo

his study aims to: (1) to know and analyze the extent of volatility (vulnerability) of sharia banking industry in Indonesia in the face of competition (2) to know and analyze factors affecting vulnerability of sharia commercial banks; (3) to know and analyze the extent of sustainable development of sharia banking industry to Indonesia's economic development.The research conducted to measure the vulnerability (volatility) of proto folio of syariah bank using observation period 2015, and the data used is cross section data. The research design used in this research is quantitative research, using asset dimension (asset portfolio, liability portfolio, equity portfolio) and stressor (pressure, including: credit risk, market risk, and liquidity risk).The activity plan of this research is: in the initial stage of conducting theoretical study related to the vulnerability related to banking especially BUS; The next step is to determine the asset and stressor dimensions associated with the BUS; Further determine the indicators related to assets and stressors; The next step performs calculations to determine the index of each BUS as well as the dimensions that affect the vulnerabilities faced by each BUS.Target expected outcomes can be generated from this research is: for the object of research (BUS) provide a solution for BUS to deal with and overcome the vulnerabilities encountered and policies that must be done. For policy makers, the results of this study are expected to provide input in decision-making and other policies.Measurement of vulnerability to be performed related to banking operations in the face of competition and the continuity of BUS in Indonesia. The outcomes of this study are expected to be included in Bank Indonesia journals, the selection of this journal is based on studies conducted in the banking sector, especially BUS in Indonesia.


2012 ◽  
Vol 20 (7) ◽  
pp. 695-700 ◽  
Author(s):  
Toru Sugihara ◽  
Hideo Yasunaga ◽  
Hiromasa Horiguchi ◽  
Tetsuya Fujimura ◽  
Hiroaki Nishimatsu ◽  
...  

2020 ◽  
pp. 097674792096686
Author(s):  
Yudhvir Singh ◽  
Ram Milan

Public sector banks have been merged by the government in the last few years. This is the rationale behind conducting this study. The purpose of this article is to determine the factors affecting the performance of public sector banks in India and the interrelationship between bank-specific determinants and performance of public sector banks. In this article, we shall analyse the financial data of all the public sector commercial banks for a period spread across 11 years (2009–2019); Capital adequacy, Assets quality, Management efficiency, Earning, and Liquidity (CAMEL) has been used as a performance determinant; system generalised method of moments (GMM) analysis has been used to find the effect of determinants on the performance measurement of public sector banks; and CCA (canonical correlation analysis) has been used to find the interrelationship between the bank-specific determinants and the performance of public sector banks. The finding has important implications in terms of performance in the banking sector. Certain limitations of this study are: It is based on secondary data. The study only covers the financial aspects and not the non-financial aspects. It is found that the asset quality is negatively related with performance of public sector banks. Liquidity and inflation are inversely related to performance of public sector banks in India. Capital adequacy is positively related with banks’ performance, but inversely related with banks’ interest margin. GDP growth has a significant positive impact on banks’ performance, but inversely related with banks’ interest income. Inflation rate is inversely related with banks’ performance. Banking sector reforms are insignificantly related with banks’ performance.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Masako Tachibana ◽  
Toshiya Inada ◽  
Masaru Ichida ◽  
Norio Ozaki

AbstractDelirium develops through a multifactorial process and include multiple subtypes with different pathological factors. To refine the treatment and care for delirium, a more detailed examination of these subtypes is needed. Therefore, this study aimed to explore the factors affecting delirium in cases in which hallucinations are conspicuous. In total, 602 delirium cases referred to the psychiatry department at a general hospital between May 2015 and August 2020 were enrolled. The Delirium Rating Scale-revised-98 was used to assess perceptual disturbances and hallucinations in patients with delirium. Multiple regression analysis was applied to determine whether individual factors were associated with the hallucinations. A total of 156 patients with delirium (25.9%) experienced hallucinations, with visual hallucinations being the most common subtype. Alcohol drinking (p < 0.0005), benzodiazepine withdrawal (p = 0.004), and the use of angiotensin II receptor blockers (p = 0.007) or dopamine receptor agonists (p = 0.014) were found to be significantly associated with hallucinations in patients with delirium. The four factors detected in this study could all be reversible contributing factors derived from the use of or withdrawal from exogenous substances.


Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.


2016 ◽  
Vol 9 (5) ◽  
pp. 23
Author(s):  
Ebrahim Merza ◽  
Sayed-Abbas Almusawi

<p>This paper aims at finding the effective factors that influence three sectors in Kuwait stock exchange market (KSE) in addition to the whole stock market. The three sectors are banking, real estate and insurance sectors. The paper measures KSE performance through the average share prices calculated on a quarterly basis starting from 2005 until first quarter of 2015. It is found that each sector behaves differently towards macroeconomic variables. The most important determinants for the KSE overall market performance were found to be gold price and the deposits rate. Individually, the banking sector is influenced by consumer price index, interest rate on loans, oil price and gold price. The insurance sector is influenced by money supply, residential real estate price and oil price. The real estate sector is influenced by the exchange rate with respect to US dollars, interest rate on loans, oil price and gold price.</p>


2016 ◽  
Vol 10 (1) ◽  
pp. 163
Author(s):  
Hamid Rahimian ◽  
Mojtaba Kazemi ◽  
Abbas Abbspour

This research aims to determine the effectiveness of training based on learning organization in the staff of cement industry with production capacity over ten thousand tons. The purpose of this study is to propose a training model based on learning organization. For this purpose, the factors of organizational learning were introduced by qualitative research in the form of open codes, axial codes, selective codes and the resulted observations, and then the final model was obtained by structural equation model. The data were collected from the staff of three cement companies of Abyek, Tehran, and Sepahan, with a statistical population of 1719 staff of cement industry. The qualitative research sample included 29 experienced experts in the field of cement industry, and the quantitative research sample included 326 staff and experts, who were selected by multi-stage cluster sampling. A self-made questionnaire consisting of 72 questions was used to measure quantitative variables. The reliability of the questionnaire was 0.93 and its content and face validity was determined by expert colleagues and professors, the structural equation model and regression was used to analyze the quantitative data. The results showed that the status of learning organization in cement companies is in average level. Finally, the obtained model consisted of both individual and organizational factors. The individual factors affecting organizational learning include teaching scientific content, perception, trust, and self-efficacy of training. The organizational factors affecting organizational learning include organizational culture, forming the structure, the method of management and leadership, preparing human resource (identity), adaption to the environment, policies, rules, and regulations, and achieving a viable product. The share of individual factors on learning organization is higher than the effect organizational factors; the share of each factor is also determined.


2018 ◽  
Vol 21 (2) ◽  
pp. 81-98
Author(s):  
Mehmed Ganić

This paper provides an empirical analysis of factors affecting Bank Interest Margins in eight countries of the South‑East European (SEE) region between 2000 and 2014. The purpose of this paper is to examine and investigate the main drivers of Bank Interest Rate Margins across selected countries throughout the SEE region. Also, the study explored the relationship between the dependent variable Interest Rate Spread (IRS – as a proxy variable for measuring variation in Bank Interest Rate Margins) and a set of selected banks’ specific variables in SEE by employing panel data estimation methodology. This research is based on aggregate data for the whole banking sector of each country. In line with some expectations, our findings confirm the importance of credit risk, bank concentration operative efficiency, and inflation expectations in determining Bank Interest Rate Margins. Interestingly, in contrast to the majority of recent empirical research, the study found an inverse relationship between the bank concentration variable and Bank Interest Rate Margins as well as between the operational efficiency variable and Bank Interest Rate Margins. Also, the study could not find statistically significant evidence that Bank Interest Rate Margins are determined by output growth, bank profitability (measured by ROA) or liquidity risk.


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